|Year : 2020 | Volume
| Issue : 3 | Page : 163-168
Evaluation of the sleep quality of patients admitted to the internal medicine outpatient clinic
İdris Kirhan1, Fatih Üzer2
1 Department of Internal Medicine, Faculty of Medicine, Harran University, S.Urfa, Turkey
2 Department of Chest Diseases, Kastamonu State Hospital, Kastamonu, Turkey
|Date of Submission||21-Feb-2020|
|Date of Decision||30-Mar-2020|
|Date of Acceptance||03-Apr-2020|
|Date of Web Publication||31-Dec-2020|
Kastamonu State Hospital, Kastamonu
Source of Support: None, Conflict of Interest: None
AIM: This study aimed to determine the sleep quality and the factors affecting sleep quality in patients admitted to the internal medicine outpatient clinic.
MATERIALS AND METHODS: The study was conducted between July 1, 2019, and July 15, 2019, with a face-to-face questionnaire administered to the patients who applied to the internal medicine outpatient clinic of Harran University. A descriptive questionnaire, Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleepiness Scale (ESS) were used in the study.
RESULTS: One-hundred and twelve (48.0%) male and 121 (51.9%) female patients with a mean age of 38.5 ± 16.3 years (18–86 years) were included in the study. The total PSQI mean was 4.9 ± 3.0 and the score range was 0–15. The rate of those with poor sleep quality was 48.9%. The mean score of ESS was 5.0 ± 3.6, and 12 (30%) patients admitted to the outpatient clinic experienced excessive sleepiness during the day. Gender of the participants (P = 0.800), income level (P = 0.113), the size of the house they were living in (P = 0.783), body mass index (BMI) (P = 0.491), and comorbid diseases (P = 0.803) did not affect the sleep quality; the number of people living in the same house affected the sleep quality (P < 0.001). It was found that those with a high BMI (≥30) had significantly worse sleep quality than those without. Sleep quality decreased as the number of people living at home decreased.
CONCLUSION: We found that almost half of the patients admitted to the internal medicine outpatient clinic had poor sleep quality. We also found that as the number of people living in the same home decreases, sleep quality deteriorates.
Keywords: Daytime sleepiness, sleep disturbance, sleep quality
|How to cite this article:|
Kirhan &, Üzer F. Evaluation of the sleep quality of patients admitted to the internal medicine outpatient clinic. Eurasian J Pulmonol 2020;22:163-8
| Introduction|| |
Sleep is a resting state in which the activity of most organs decreases and some or almost no external stimuli are detected. Sleeping, eating, drinking, and breathing are the most basic needs of a person. Sleep allows the organism to rest physically and mentally and regulates brain functions and prepares the person for a new day. A change in the quality and quantity of sleep may affect daily living activities.
Sleep affects cognitive functions such as productivity and concentration and contributes to the conservation of energy and physical and psychological repair of the organism. Sleep quality affect feeling energetic and ready for a new day after waking up. If a person feels fit and ready for a new day after waking up, then good quality sleep is achieved. Sleep quality is affected by various factors such as lifestyle, social life, occupational conditions, environmental factors, stress, and general health status. According to some studies, 15%–35% of adults have problems related to sleep quality such as difficulty in falling asleep and maintaining sleep; therefore, sleep quality has importance. In addition, poor sleep quality can be a symptom of various diseases.,
It is seen that individuals who have insomnia problems have more problems in their daily lives and overall health such that their life quality decreases gradually, and they tend to seek more help in terms of time/energy., When we look at the literature, sleep quality of individuals with various chronic diseases has been extensively investigated. Internal medicine outpatient clinic is one of the leading clinics in terms of patient diversity. This study aimed to determine the sleep quality and the affecting factors in patients admitted to the internal medicine outpatient clinic. We believe that this study will shed light on the research on sleep problems in various patient groups.
| Materials and Methods|| |
This is a cross-sectional study designed to determine sleep quality and excessive daytime sleepiness of patients admitted to an internal medicine outpatient clinic. The research was conducted in Harran University Research and Training Hospital during July 1–15, 2019. Sample selection was not made in the research; patients who accepted to participate were all included in the study. Patients who refused to participate in the study were not included in the sampling. In this study, Personal Information Form, Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleep Scale (ESS) were used to collect data. The Personal Information Form, which was developed based on the literature, consists of questions that include demographic characteristics and individual characteristics that are thought to affect sleep quality. Demographic characteristics (gender, age, weight, height, and body mass index [BMI]) as well as other individual characteristics (working style, economic status, presence of a health problem, etc.) were questioned. The PSQI was developed by Buysee et al. in 1938 to evaluate sleep quality. The Turkish validity and reliability study was conducted in 1996 by Ağargün et al. This value shows that the internal consistency of the scale is high. The PSQI contains 24 questions in total. Nineteen of these are self-report questions. The remaining five questions are answered by a spouse or roommate. These last five questions are used for clinical information only and are not included in the scoring. In the self-report questions, Question 19 is about the presence or absence of a roommate or partner and is not taken into account in the calculation of the component scores of the scale. The 18 PSQI questions included in the scoring were grouped into seven component scores. While some of the components consisted of a single question's score, some are obtained by grouping several questions.
The following seven items are found in the PSQI:
- Component 1: Sleep quality
- Component 2: Sleep latency
- Component 3: Sleep duration
- Component 4: Sleep efficiency
- Component 5: Sleep disturbance
- Component 6: Sleep medication
- Component 7: Daytime sleep dysfunction.
Each component has a score between 0 and 3. The total score of the seven components gives the PSQI score. The total score has a value of 0–21. Those with a total score of <5 are considered to have good sleep quality and those with a score of 5 or more have poor sleep quality.
The ESS was developed by Johns in 1991. ESS is the most commonly used scale to assess the level of sleepiness in both clinical practice and researches. The scale has been translated into many different languages. It aims to measure the overall daytime sleepiness, rather than evaluating sleepiness for special situations or specific periods. ESS is a 4-point Likert scale. It is scored as 0, 1, 2, and 3, and a total score of 10 and above is accepted as excessive daytime sleepiness.
The Ethics Committee of the Harran University (November 4, 2019;04/10) approved the study.
While evaluating the data, independent variables such as age and gender and the dependent variable of PSQI score were used. The data obtained were coded by the researchers, a database was created, and the data were analyzed using SPSS for Windows (SPSS/IBM, Chicago, IL, USA) 24 package program. A Chi-square test was used for assessing the categorical data compared to other categorical characteristics. The statistical significance level was accepted as 0.05 in all the analyses.
| Results|| |
The mean age of the patients was 38.5 ± 16.3 (18–86) years. A total of 112 (48.0%) male and 121 (51.9%) female patients were included in the study. The mean PSQI score of the patients was 4.9 ± 3.0, ESS score was 5.0 ± 3.6, and the mean BMI was 26.1 ± 5.4. It was found that 48.9% (114) of the patients included in the study had poor sleep quality (PSQI ≥5) and 14.7% (30) had excessive daytime sleepiness (ESS ≥10). Approximately one-third (36.4%) of the participants had normal BMI, whereas 56.6% of the patients had no chronic disease. The general characteristics of the participants are summarized in [Table 1], and the PSQI subgroup averages are summarized in [Table 2]. When the participants' sleep time was examined. 58.7% (137) of the patients fall asleep in more than 60 min, 26.1% (61) in 31–60 min, 13.3% (31) in 16–30 min, and 1.7% (4) were found to fall asleep in 15 min or less. It was found that 8.1% (19) of the patients sleep under 6 h, 65.6% (153) of them sleep between 6 and 8 h, and 26.1% (61) of them sleep more than 8 h. Gender of the participants (P = 0.800), their income level (P = 0.113), size of the house (P = 0.783), BMI (P = 0.491), and additional diseases (P = 0.803) do not have an effect on sleep quality (P < 0.001). However, it was concluded that the number of people living in the same house effects sleep quality. Sleep quality deteriorated as the number of people living at home decreased [Table 3]. It was also found that chronic diseases of the patients did not affect sleep quality [Table 4]. In our study, 48.6% of the patients with hypertension, 40.6% of the patients with diabetes mellitus (DM), 53.3% of the patients with thyroid disease, 50% of the patients with renal disease, 70% of the patients with heart failure, and 40% of the patients with chronic pulmonary disease were found to have poor sleep quality. In the evaluation of chronic diseases according to the ESS, there was no statistically significant difference in the ESS score among chronic patients (P = 0.853). When the participants with poor sleep quality (PSQI ≥5) were evaluated, it was found that those with a high BMI (≥30) had statistically significantly worse sleep quality than those without (P = 0.004) [Table 5].
|Table 3: Comparison of the mean score of patients' Pittsburgh Sleep Quality Scale according to sociodemographic characteristics|
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|Table 4: Comparison of chronic diseases according to Pittsburgh Sleep Quality Index levels|
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|Table 5: Comparison of poor sleep quality (Pittsburgh Sleep Quality Index 5) according to sociodemographic characteristics and clinical characteristics|
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In the subgroup analysis of patients with DM, there were 31 (13.3%) patients with a mean age of 58 ± 9.9 years. Their mean BMI was 28.3 ± 4.8, ESS score was 5.7 ± 3.4, PSQI score was 5.0 ± 3.6, and hypertension was the most common comorbid disease in diabetic patients. When patients with DM were compared with other patients, there was no statistically significant difference in their ESS (P = 0.247) and PSQI (P = 0.730) scores.
| Discussion|| |
Internal medicine policlinic is one of the most diverse clinics in terms of patient diversity. Usually, first application, treatment, and follow-up of patients with hypertensive diseases, endocrinological disorders, renal diseases, and pulmonary disorders, which are commonly seen in the community, are internal medicine policlinics, which is the reason for this diversity. Treatment and follow-up of such diseases can provide a resource for epidemiological studies. In our study, in which we investigated the sleep quality of these patients, we found that approximately half (48.9%) of the patients admitted to the internal medicine policlinic had poor sleep quality. In studies of various patient groups in Turkey, it was reported that patients' poor sleep quality ratio was between 67.8% and 77%.,,,, This information shows that the majority of people with chronic disease, regardless of that chronic disease, have poor sleep quality.
Studies report that sleep quality varies according to gender and that women have worse sleep quality than men.,, In our study, we found that gender did not affect sleep quality. In literature, the reason for the similarity of sleep quality between genders was attributed to the effective maintenance of the non-rapid eye movement (NREM) stage of sleep until older ages in women and the rapid decrease in this stage after 40 years in men. In our study, there were more participants under the age of 40, and it may have caused similar sleep quality in both genders.
After thirties, the rate of deep sleep decreases compared to younger ages. The decrease in deep sleep may cause a decrease in sleep efficiency and quality. In our study, we found that sleep quality did not change depending on age. Although there are publications in literature stating that sleep quality does not change with age, which is similar to our study, there are also studies indicating that sleep quality changes with age and sleep quality decreases as people get older, as in Chan's study.,,,
It is reported that income status of a person is directly proportional to sleep and that the quality of sleep may deteriorate with lower income levels. In our study, we found that both sleep quality and excessive daytime sleepiness were not related with income level.
Approximately 75% of patients fall asleep within 30 min or more, making it clear that the majority of patients have problems with delay in falling asleep. However, this does not affect patients' sleep duration. Only 8.1% of the participants stated that they slept for < 6 h. In general, the recommended sleep time for adults is 6–8 h, and that the healthy duration for falling asleep is within 15 min., In our study, it was found that most of the patients slept in accordance with the recommended sleep time, but only a few of them fell asleep within the recommended duration.
Studies report a relationship between increased BMI or visceral fat tissue and poor sleep quality., In a study from Turkey, conducted by Algul et al. on 57 obese and 53 normal weighted individuals, it was reported that there was a significant relationship between poor sleep quality and obesity. In our study, although no statistically significant difference was found between BMI and PSQI scores, it was found that individuals with poor sleep quality tended to have higher BMI.
Excessive daytime sleepiness may occur in people suffering from insomnia. This may affect a person's daily functions. In a study comparing the life quality of healthy sleepers and those with sleep problems, it was stated that the life quality of the people with sleep problems was worse than the healthy sleepers, and the quality of life was affected by the increase in sleep problems. Patients may experience excessive sleep the next day due to interruption of sleep resulting from frequent episodes of apnea during sleep. Excessive daytime sleepiness may occur not only in sleep apnea syndrome but also in many other chronic diseases. In our study, it was found that only 12.3% of the patients experienced excessive daytime sleepiness, and there was no statistically significant difference between daytime sleepiness and chronic diseases.
It can be expected that the sleep quality of the patients with chronic diseases will be impaired and impaired sleep quality will affect overall health. According to the DSM-5, this condition is included in the scope of “Sleep Disorders Due to Medical Disorders.” However, according to the results of our study, there is no difference between the sleep quality of those with chronic diseases.
Limitations of our study include that sleep quality was evaluated by the PSQI, excessive daytime sleepiness was assessed by the ESS, and the measurement methods in which sleep was evaluated objectively were not used. Furthermore, the fact that social habits, working status, and work conditions may affect the sleep quality of the person is not questioned in our study.
| Conclusion|| |
As a result, we found that approximately half of the patients admitted to the internal medicine outpatient clinic had poor sleep quality and almost one in every ten patients experienced excessive daytime sleepiness. In addition, patients with poor sleep quality tend to have an increase in BMI. Sleep disorders may be present in patients admitted to the internal medicine outpatient clinic for various reasons. Referral of these patients to sleep policlinics would be appropriate for public health.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
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[Table 1], [Table 2], [Table 3], [Table 4], [Table 5]